Event on Data Analytics with R

Give us a call on +91-96812 24048 for more details.

Event Details

Login/Register to Book »

Data Analytics with R

Category
Data_Science
Trainer
Dr. Susanta Tewari
Type
Webinar
Fees
Rs. 15000
Discount
60 %
Cost

Rs. 6000/-

Login/Register to Book »


Event Timing
  1. 30/3/2020 Monday
    From 11:00 AM to 2:00 PM
    Day 1: Basics of R Programming
  2. 31/3/2020 Tuesday
    From 11:00 AM to 2:00 PM
    Day 2: Exploring Data with R
  3. 1/4/2020 Wednesday
    From 11:00 AM to 2:00 PM
    Day 3: Exploring Data with R - Part 2
  4. 2/4/2020 Thursday
    From 11:00 AM to 2:00 PM
    Day 4: Data Wrangling - Part 1
  5. 3/4/2020 Friday
    From 11:00 AM to 2:00 PM
    Day 5: Working with Sample Data
  6. 4/4/2020 Saturday
    From 11:00 AM to 2:00 PM
    Day 6: Programming with R - in Depth
  7. 6/4/2020 Monday
    From 11:00 AM to 2:00 PM
    Day 7: Communications
  8. 7/4/2020 Tuesday
    From 11:00 AM to 2:00 PM
    Day 8: Data Scrapping
  9. 8/4/2020 Wednesday
    From 11:00 AM to 2:00 PM
    Day 9: GIT Basics
  10. 9/4/2020 Thursday
    From 11:00 AM to 2:00 PM
    Day 10: Functional Understanding of GIT

Login/Register to Book »

Course Details

Curriculum


R For Data Science

 

1.       Basics of R Programming

 a.       Overview of R Programming

 b.       Installing and Using R Studio

 c.       Basic Syntax

 d.       Including Other Libraries (Covers Libraries can be utilized)

2.       Exploring Data with R

 a.       Introduction

 b.       Data Visualization

 c.       Workflow Basics

 d.       Data Transformation

 e.       EDA Basics

 f.       EDA with Sample Data Set

3.       Data Wrangling

 a.       Overview

 b.       Tibbles

 c.       Importing Data

 d.       String

 e.       Factors

 f.       Date and Time

4.       Programming

 a.       Overview

 b.       Pipes

 c.       Functions

 d.       Vectors

 e.       Iteration

5.       Communications

 a.       Overview

 b.       R Markdown

 c.       Graphics for Communication

 d.       Markdown Format

 e.       Markdown Workflow

6.       Data Scrapping

7.       Functional Understanding of GIT


Objectives

R has a simple syntax that makes it suitable for learning programming as a first language. The learning curve is smoother like other languages such as Python, which quickly requires learning about Data. 

Key Takeaway

     1. Learning Python in Depth
     2. Code Samples
  3. Continuous Support

Frequently Asked Questions

Do I need to know the basic programs before joining this course?
No

Will I get any Certificate?
Yes. The certificate will have a number. Your prospective employer/university can verify that certificate

Do I need to pay any amount?
No. But if you want certificate, then you need to complete and upload the project in our portal. For evaluation and hard copy certificate you need to pay the amount mentioned in your panel.

Social Media